Update app.py

app.py

@@ -13,8 +13,8 @@ loaded_model = pickle.load(open("classroom_xgb.pkl", 'rb'))
 explainer = shap.Explainer(loaded_model) # PLEASE DO NOT CHANGE THIS.
 
 # Create the main function for server
-def main_func(Target, Admission_Grade, Second_Sem_Grades, Previous_Qualification_Grade, First_Sem_Grades, Course, Second_Sem_Units_Approved, Age_at_Enrollment):
-    new_row = pd.DataFrame.from_dict({'Target':Target,'Admission_Grade':Admission_Grade,
+def main_func(Admission_Grade, Second_Sem_Grades, Previous_Qualification_Grade, First_Sem_Grades, Course, Second_Sem_Units_Approved, Age_at_Enrollment):
+    new_row = pd.DataFrame.from_dict({'Admission_Grade':Admission_Grade,
               'Second_Sem_Grades':Second_Sem_Grades,'Previous_Qualification_Grade':Previous_Qualification_Grade,'First_Sem_Grades':First_Sem_Grades,
               'Course':Course,'Second_Sem_Units_Approved':Second_Sem_Units_Approved,'Age_at_Enrollment':Age_at_Enrollment},
                                       orient = 'index').transpose() 
@@ -48,7 +48,6 @@ with gr.Blocks(title=title) as demo:
     gr.Markdown("""---""")
     with gr.Row():
         with gr.Column():
-            Target = gr.Number(label="Dropout or Not", value=40)
             Admission_Grade = gr.Slider(label="AdmissionGrade Score", minimum=0, maximum=1, value=1, step=1)
             Second_Sem_Grades = gr.Slider(label="PreviousQualificationGrade Score", minimum=1, maximum=5, value=4, step=1)
             Previous_Qualification_Grade = gr.Slider(label="CurricularUnits1stSemGrade Score", minimum=1, maximum=5, value=4, step=1) 
@@ -64,12 +63,12 @@ with gr.Blocks(title=title) as demo:
 
     submit_btn.click(
         main_func,
-        [Target, Admission_Grade, Second_Sem_Grades, Previous_Qualification_Grade, First_Sem_Grades, Course, Second_Sem_Units_Approved, Age_at_Enrollment],
+        [Admission_Grade, Second_Sem_Grades, Previous_Qualification_Grade, First_Sem_Grades, Course, Second_Sem_Units_Approved, Age_at_Enrollment],
         [label,local_plot], api_name="Graduation_Predictor"
     )
     
     gr.Markdown("### Click on any of the examples below to see how it works:")
-    gr.Examples([1,119,13,122,12,3,0,18], [Target, Admission_Grade, Second_Sem_Grades, Previous_Qualification_Grade, First_Sem_Grades, Course, Second_Sem_Units_Approved, Age_at_Enrollment]
+    gr.Examples([[119,13,122,12,3,0,18],[100,20,90,50,33,2,20]], [Admission_Grade, Second_Sem_Grades, Previous_Qualification_Grade, First_Sem_Grades, Course, Second_Sem_Units_Approved, Age_at_Enrollment]
                  , [label,local_plot], main_func, cache_examples=True)
 
 demo.launch()